ArgoNeuT
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ArgoNeuT Data
- ArgoNeuT Event Classifcation Manual HandScanProcedure_draft.pdf
- Shower Reconstruction in Icarus ICARUS_pi0shower.pdf
- Neutrino mode: Run 607 to 652, i.e. from 14.09.2009 to 30.09.2009
- Anti-neutrino mode: Run 653 to 851, i.e. from 30.09.2009 to 22.02.2010
The lhepat03.unibe.ch
- This machine is a grid file server on CentOS 5 with LArSoft installed.
- Installation of local LarSoft copy on Centos5
- Updating the installation occasionally (as root user)
* source /opt/larsoft/setup_lhepat03.sh * lar_update_rel -rel development * make
- Using the event display
* source /grid/ArgonNeut/setup_lhepat03.sh * evd -x argoneut.xml -x evd.xml -i /grid/ArgonNeut/data/fbtR628.root
- Create a private working release
* Make a new user and password as root: adduser crohr; passwd crohr (choose local account) * Copy /home/argonsw/.bash_profile into /home/crohr * Login as new user and create a working directory: [lhepdaq6] /data/larsoft/releases > newrel -t development crohr * Copy and adapt the setup script: cp /data/larsoft/releases/shaug/larsoft.sh ./
- Work on geometry
* Edit files in, for example /data/larsoft/releases/crohr/Geometry/gdml/argoneut * Create the real geometry file: ./make_gdml.pl -i argoneut-gdml-fragments.xml -o argoneut.gdml * Inspect the geometry with ROOT: root -l argoneut_geo.C. [root] gGeoManager->FindVolumeFast("volWorld")->Draw()
- Using the MC simulation
* source /grid/ArgonNeut/setup_lhepat03.sh * in the own release: * addpkg -h EventGenerator * make EventGenerator.all * mkdir MC_variables * scp /grid/ArgonNeut/Coding/MC_variables/* to your MC_variables folder * edit xml_development/detsimModule.xml and replace path for argoshapkern.txt and/or shape-argo.root with path to your MC_variables directory * edit EventGenerator/singleparticle.xml to change for the correct particle to generate * ana -x argoneut.xml -x prodsinglesim.xml -n10 -i /dev/null:1/1/1 -o test.root * -n10 : 10 events, 1/1/1/ : run number, test.root : output file
- Using the Shower Analysis by Biagio
* source /grid/ArgonNeut/setup_lhepat03.sh * addpkg -h ShowerFinder * edit ShowerFinder/ShowerReco.cxx and activate the WriteHistos() routine * make ShowerFinder.all * ana -x argoneut.xml -x shower.xml test.root * The outputfile Shower_0001.root contains a collection of histograms obtained from the showers
- Analysis example etc here : https://cdcvs.fnal.gov/redmine/wiki/larsoft
- Remote access with ngls gsiftp://lhepat03.unibe.ch/ArgonNeut/
- Using the Uni Geneva Image Retrival Client (Gift)
* Use some webspace, i.e. user@lheppc15.unibe.ch (here user =strauss) * go to public_html * mkdir LTPC_IMAGE * wget http://www.lhep.unibe.ch/strauss/LTPC_IMAGE/demo.tgz * tar -xzf demo.tgz - creates demo/ folder structure in LTPC_IMAGE * Demo Webpage
- Using the Uni Geneva Image Retrival Server (Gift)
* go to public_html/LTPC_IMAGE * mkdir server, cd into * wget http://arcgift.unige.ch/~xmzh/templates.tgz alternatively this one * tar -xzf templates.tgz creates template structure for server-client communication (e.g. serverAnsRandom handles query for random image, not all files are needed) * wget http://arcgift.unige.ch/~xmzh/SimpleWebServer.jar alternatively this one * mkdir config/ * nano config * Server communication files * The csv file which holds information of all images that should be compared * The directory of the images * The thumbnail directory of the images (128x128) * start a screen session * java -jar SimpleWebServer.jar "config file path" port number 12750 * In client webpage, the server adress can be entered with the corresponding port (e.g. "localhost" 12750)
- Using the Uni Geneva Image Retrival DataBase (Gift)
* Get the java executables to generate the files * wget http://www.lhep.unibe.ch/strauss/LTPC_IMAGE/input_generator/LTPCImageFeatureExtraction.jar * wget http://www.lhep.unibe.ch/strauss/LTPC_IMAGE/input_generator/SeqFastKMeans.jar * wget http://www.lhep.unibe.ch/strauss/LTPC_IMAGE/input_generator/seqClusterMapGeneration.jar * wget http://www.lhep.unibe.ch/strauss/LTPC_IMAGE/input_generator/seqHistogramGeneration.jar * mkdir input_folder with images and thumbnails (visible from the web, so the cleint can access the data) * mkdir output_folder * java -jar LTPCImageFeatureExtraction.jar "input_images/" "output_script1/" * java -jar SeqFastKMeans.jar "output_script1/" * java -jar seqClusterMapGeneration.jar "output_script1/" * java -jar seqHistogramGeneration.jar "output_script1/" * in output_folder the file histogram.csv is created, which can be used as the csv file of the server config
Visual Event Scanning
- Follow the manual [[1]]